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Use of the SF-36v2 Health Survey as a Screen for Risk of Major Depressive Disorder in a US Population-based Sample and Subgroup With Chronic Pain.

Publication ,  Journal Article
Bell, JA; daCosta DiBonaventura, M; Witt, EA; Ben-Joseph, R; Reeve, BB
Published in: Med Care
February 2017

STUDY OBJECTIVES: To assess the feasibility of using the SF-36v2 mental health (MH) and mental component summary (MCS) scores for classification of risk for major depressive disorder (MDD), and to determine cut-off scores based on the sensitivity and specificity in a general US representative sample, and a chronic pain subpopulation. METHODS: Data were analyzed from the 2013 US National Health and Wellness Survey (adults 18 y old and above; N=75,000), and among a chronic pain subpopulation (n=6679). Risk of MDD was a score ≥10 on the Patient Health Questionnaire (PHQ-9). Logistic regression modeling was used to predict at risk for MDD and receiver operating characteristic curves were produced. RESULTS: The total sample had MH scores of 48.8 and MCS scores of 48.9, similar to the normative US population mean. Percent of respondents with a PHQ-9≥10 were 15.0% and 29.1% for the total sample and chronic pain subpopulation, respectively. Cut-off scores (PHQ-9≥10) in the total sample for the MH and MCS were 43.0 and 46.0, respectively. Specificities for the MH and MCS were 77.8% and 76.1%; sensitivities were 84.9% and 88.1%, respectively. Among the subpopulation with chronic pain, cut-off scores for the MH and MCS were 40.4 and 43.1, respectively. Corresponding specificities for the MH and MCS were 77.9% and 73.9%; sensitivities were 78.3% and 83.4%, respectively. CONCLUSIONS: The SF-36v2 was found to have sufficient specificity and sensitivity to categorize participants at risk for MDD. If no depression questionnaire is available, it is feasible to use the SF-36v2 to characterize the MH of populations.

Duke Scholars

Published In

Med Care

DOI

EISSN

1537-1948

Publication Date

February 2017

Volume

55

Issue

2

Start / End Page

111 / 116

Location

United States

Related Subject Headings

  • United States
  • Socioeconomic Factors
  • Smoking
  • Sensitivity and Specificity
  • Psychiatric Status Rating Scales
  • Middle Aged
  • Male
  • Humans
  • Health Surveys
  • Health Policy & Services
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Bell, J. A., daCosta DiBonaventura, M., Witt, E. A., Ben-Joseph, R., & Reeve, B. B. (2017). Use of the SF-36v2 Health Survey as a Screen for Risk of Major Depressive Disorder in a US Population-based Sample and Subgroup With Chronic Pain. Med Care, 55(2), 111–116. https://doi.org/10.1097/MLR.0000000000000617
Bell, Jill A., Marco daCosta DiBonaventura, Edward A. Witt, Rami Ben-Joseph, and Bryce B. Reeve. “Use of the SF-36v2 Health Survey as a Screen for Risk of Major Depressive Disorder in a US Population-based Sample and Subgroup With Chronic Pain.Med Care 55, no. 2 (February 2017): 111–16. https://doi.org/10.1097/MLR.0000000000000617.
Bell JA, daCosta DiBonaventura M, Witt EA, Ben-Joseph R, Reeve BB. Use of the SF-36v2 Health Survey as a Screen for Risk of Major Depressive Disorder in a US Population-based Sample and Subgroup With Chronic Pain. Med Care. 2017 Feb;55(2):111–6.
Bell, Jill A., et al. “Use of the SF-36v2 Health Survey as a Screen for Risk of Major Depressive Disorder in a US Population-based Sample and Subgroup With Chronic Pain.Med Care, vol. 55, no. 2, Feb. 2017, pp. 111–16. Pubmed, doi:10.1097/MLR.0000000000000617.
Bell JA, daCosta DiBonaventura M, Witt EA, Ben-Joseph R, Reeve BB. Use of the SF-36v2 Health Survey as a Screen for Risk of Major Depressive Disorder in a US Population-based Sample and Subgroup With Chronic Pain. Med Care. 2017 Feb;55(2):111–116.

Published In

Med Care

DOI

EISSN

1537-1948

Publication Date

February 2017

Volume

55

Issue

2

Start / End Page

111 / 116

Location

United States

Related Subject Headings

  • United States
  • Socioeconomic Factors
  • Smoking
  • Sensitivity and Specificity
  • Psychiatric Status Rating Scales
  • Middle Aged
  • Male
  • Humans
  • Health Surveys
  • Health Policy & Services